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- W3153238213 abstract "Real-time processing of images and videos is becoming considerably crucial in modern applications of machine learning (ML) and deep neural networks. Having a faster and compressed floating point arithmetic can significantly increase the performance of such applications optimizing memory occupation and transfer of information. In this field, the novel posit number system is very promising. In this paper we exploit posit numbers to evaluate the performance of several machine learning algorithms in real-time image and video processing applications. Future steps will involve further hardware accelerations for native posit operations." @default.
- W3153238213 created "2021-04-26" @default.
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- W3153238213 date "2021-04-12" @default.
- W3153238213 modified "2023-09-26" @default.
- W3153238213 title "Faster deep neural network image processing by using vectorized posit operations on a RISC-V processor" @default.
- W3153238213 doi "https://doi.org/10.1117/12.2586565" @default.
- W3153238213 hasPublicationYear "2021" @default.
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